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  • This paper deals with the possibility of automated detection of defective solar cells within the whole solar module taken by electroluminescence methods. During the manufacturing of solar cell there is possible to make a lot of useful analysis of the quality of used material and technology processes. Among methods that are displaying distribution of defect in the structure we can count the photoluminescence, which is possible to use on uncontacted material, electroluminescence and LBIC (Light Beam Induced Current) eventually LBIV (Light Beam Induced Voltage) which can be used on contact made solar cells. All this methods are creating large array of data displaying local characteristic of solar cell structure. This data can be displayed as images or can by analyse by mathematic matrix software like Mathlab. The advantage of matrix analyse is possibility to automate an analysing process and speed up the whole process. For useful analyse there must be decide what type of defect can by automatic detected
  • This paper deals with the possibility of automated detection of defective solar cells within the whole solar module taken by electroluminescence methods. During the manufacturing of solar cell there is possible to make a lot of useful analysis of the quality of used material and technology processes. Among methods that are displaying distribution of defect in the structure we can count the photoluminescence, which is possible to use on uncontacted material, electroluminescence and LBIC (Light Beam Induced Current) eventually LBIV (Light Beam Induced Voltage) which can be used on contact made solar cells. All this methods are creating large array of data displaying local characteristic of solar cell structure. This data can be displayed as images or can by analyse by mathematic matrix software like Mathlab. The advantage of matrix analyse is possibility to automate an analysing process and speed up the whole process. For useful analyse there must be decide what type of defect can by automatic detected (en)
Title
  • Computer recognizing of Defective Solar Cells in the Solar Module
  • Computer recognizing of Defective Solar Cells in the Solar Module (en)
skos:prefLabel
  • Computer recognizing of Defective Solar Cells in the Solar Module
  • Computer recognizing of Defective Solar Cells in the Solar Module (en)
skos:notation
  • RIV/00216305:26220/12:PU100175!RIV13-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED0014/01/01), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 128321
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/12:PU100175
http://linked.open...riv/jazykVysledku
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  • Defects, Defect Density, Monitoring, Modelling, Solar Cells, Solar Module (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2EC4640E2884]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
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  • Proceeding of IWTPV12
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http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vaněk, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-05022-4
http://localhost/t...ganizacniJednotka
  • 26220
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